Improving a CAD system using bilateral information

Meritxell Tortajada, Arnau Oliver, Yago Díez, Robert Martí, Joan C. Vilanova, Jordi Freixenet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Computer Aided Detection (CAD) mammographic systems are used in medicine to assist radiologists in the evaluation of mammographic images. The aim of this work is to compare the results of a developed single-image CAD system with a new one, dual-image CAD, that adds registration information of bilateral mammographic images in the training step of the former system. The evaluation of the different registration methods is performed using similarity measures. Receiver Operating Characteristic (ROC) analysis and Free Receiver Operating Characteristics (FROC) analysis are used to compare the results of both CAD systems. At a sensitivity of 80%, the false positives per image was 1.68 for the single-image CAD system and 0.90 for the dual-image CAD system. The results shows the benefits of integrating bilateral information into the CAD system.

Original languageEnglish
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages5054-5057
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: 2010 Aug 312010 Sep 4

Publication series

Name2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Other

Other2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
CountryArgentina
CityBuenos Aires
Period10/8/3110/9/4

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics

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